Creating a simple bar chart

1. In the Chart Type section, click the Bar icon.

   The canvas updates to display a bar chart template.

2. Select a categorical (nominal or ordinal) variable as the Category variable. You can use a scale variable, but the results are useful in only a few special cases. A bar chart looks best with a limited number of distinct values. If you create a bar chart with a scale Category axis, the bars are thin because each bar is drawn at an exact value, and the bar cannot overlap other continuous values.
3. Select a statistic from the Summary list. The result of any statistic determines the height of the bars. If the statistic you want does not appear in the Summary list, it might require a variable. Select a variable from the Value list and check if the statistic is now available. Other chart type limitations might exist. For example, error bar charts can be calculated only for specific statistics.
4. Click the Save visualization in the project control to save the visualization to the project. You can select to also Create a new asset from the visualization, provide a visualization asset name, description, and chart name.
5. Click Apply to save the visualization to the project. The new visualization asset is now available under the Assets tab.

Options

Category

Lists variables that are available for the chart's X-axis.

Order based on

Select a sorting option for the categories within the variable.

Category name

Use the category labels for sorting the variable's categories. The labels appear in the chart, usually as tick or legend labels.

Category value

Use the value that is stored in the data set for sorting the variable's categories. The category's value is what identifies the category in the data set. It often differs from its label and is not necessarily descriptive. For example, the value might be a number (for example, 1), while the label is a text description of the category (for example, Female).

Category order

Select the order in which variable categories are sorted.

As read

Variable categories are presented as they appear in the data set.

Ascending

Sort variable categories in ascending order.

Descending

Sort variable categories in descending order.

Summary

Select a statistical summary function for the graphic element. The result of the statistic determines the position of the graphic elements on the Y-axis. In a 2-D chart, the statistic is calculated for each value on the X-axis. In a 3-D chart, it is calculated for the intersection of values on the X-axis and Z-axis.

Two types of statistical summary functions are available. The distinction is important because it determines whether you need to specify a Value variable.

• Functions that do not require a value variable. Functions that do not require a variable. All count and percentage statistics are in this category. These statistics are available when the Value variable is not defined.
• Functions that do require a value variable. Functions that do require a Value variable. For example, the Mean function requires a variable on which the mean is calculated. These statistics are available when the Value variable is not defined.

Value

This field displays when a Summary function that requires a value variable, is selected. Select a variable to serve as the value.

Split by

Select a categorical variable that creates a table of charts, with a cell for each category in the Split by variable. Like grouping, split by variables essentially add more dimensions to your chart by displaying information for each variable category.

Split type

When a Split by variable is selected, you can choose to display the resulting category bars as either stacked or clustered. Clustering and stacking add dimensionality within the chart. Clustering splits one bar into multiple bars, and stacking creates segments in each bar. Be careful that you choose the right statistic for stacking. When the values are added (stacked), the result must make sense. For example, adding and stacking mean (averaged) values is not usually meaningful.

Bar type

Select the bar chart type from the provided options.

• X-axis
• Y-axis
• X-axis inverse
• Y-axis inverse
• Polar-angle axis
• Polar-radius axis
• Polar-rainbow

Label position

Select the chart's label position from the drop-down menu.

• none
• top
• left
• right
• bottom
• inside
• insideLeft
• insideRight
• insideTop
• insideBottom
• insideTopLeft
• insideBottomLeft
• insideTopRight
• insideBottomRight

Show reference line

The toggle control enables and disables the display of reference lines in the chart. Available options are Min, Max, and Average, which display reference lines at the chart's minimum, maximum and average values.

Enter a reference line value

When Show reference line is enabled, this setting provides the option of specifying a reference line value. Click Add another column to specify more reference line values.

Transpose

When enabled, the chart's X and Y axes are transposed.

Primary title

The chart title.

Subtitle

The chart subtitle, which is placed directly beneath the chart title.

Footnote

The chart footnote, which is placed beneath the chart.

XAxis label

The x-axis label, which is placed beneath the x-axis.

YAxis label

The y-axis label, which is placed above the y-axis.